Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
Selected topics in computer science (advanced level). Content and prerequisites vary between sections and semesters. May be repeated for credit. Check “topics course” webpage on the department website for more information on each section.
HIST 6998 GR is a twin listings of an undergraduate History lecture provided to graduate students for graduate credit. If a graduate student enrolls, she/he/they attends the same class as the undergraduate students (unless otherwise directed by the instructor). Each instructor determines additional work for graduate students to complete in order to receive graduate credit for the course. Please refer to the notes section in SSOL for the corresponding (twin) undergraduate 1000 or 2000 level course and follow that course's meeting day & time and assigned classroom. Instructor permission is required to join.
First part of two-term MA Thesis sequence for MRST MA Students.
M.A. Thesis Course for MARS-REERS program.
May be repeated for credit, but no more than 3 total points may be used for degree credit. Only for electrical engineering and computer engineering graduate students who include relevant off-campus work experience as part of their approved program of study. Final report required. May not be taken for pass/fail credit or audited.
HIST 6999 GR is a twin listings of an undergraduate History seminar provided to graduate students for graduate credit. If a graduate student enrolls, she/he/they attends the same class as the undergraduate students (unless otherwise directed by the instructor). Each instructor determines additional work for graduate students to complete in order to receive graduate credit for the course. Please refer to the notes section in SSOL for the corresponding (twin) undergraduate 3000 level course and follow that course's meeting day & time and assigned classroom. Instructor permission is required to join.
HIST 6999 GR is a twin listings of an undergraduate History seminar provided to graduate students for graduate credit. If a graduate student enrolls, she/he/they attends the same class as the undergraduate students (unless otherwise directed by the instructor). Each instructor determines additional work for graduate students to complete in order to receive graduate credit for the course. Please refer to the notes section in SSOL for the corresponding (twin) undergraduate 3000 level course and follow that course's meeting day & time and assigned classroom. Instructor permission is required to join.
HIST 6999 GR is a twin listings of an undergraduate History seminar provided to graduate students for graduate credit. If a graduate student enrolls, she/he/they attends the same class as the undergraduate students (unless otherwise directed by the instructor). Each instructor determines additional work for graduate students to complete in order to receive graduate credit for the course. Please refer to the notes section in SSOL for the corresponding (twin) undergraduate 3000 level course and follow that course's meeting day & time and assigned classroom. Instructor permission is required to join.
HIST 6999 GR is a twin listings of an undergraduate History seminar provided to graduate students for graduate credit. If a graduate student enrolls, she/he/they attends the same class as the undergraduate students (unless otherwise directed by the instructor). Each instructor determines additional work for graduate students to complete in order to receive graduate credit for the course. Please refer to the notes section in SSOL for the corresponding (twin) undergraduate 3000 level course and follow that course's meeting day & time and assigned classroom. Instructor permission is required to join.
Second part of two-term MA Thesis sequence for MRST MA Students.
M.A. Thesis Course for MARS-REERS program.
English communication proficiency is important for academic achievement and career success. Columbia Engineering provides English communication instruction for students who would like to improve their communication skills in English. In a small group setting (15-20 students), enrollees will obtain opportunities to interact with the instructor and fellow classmates to improve communication skills.
This course is designed for graduate nurses to provide them with the skills to understand and utilize research evidence in decisions about clinical practice. The course is designed to help graduate nurses articulate relevant practice-based questions, search the literature to identify relevant evidence, evaluate the quality of research on which the evidence is based, and discuss the application of the evidence in clinical practice to improve quality of care.
Part one of two. In this course we will examine the normal physiological function of organ systems, the mechanisms for the maintenance of health, and the pathophysiological alterations in body function that lead to disease. Each class will focus on a specific physiologic process or organ system. We will pay particular focus to diseases that commonly occur across the lifespan, examining common etiologies, pathogenic mechanisms, clinical manifestations, and common treatments of each.
The care coordination course is designed to provide nursing students the skills to provide patient-centered care, deliberately organize patient care activities and share information among all of the participants concerned with a patient's care to achieve safer and more effective care. Reducing high rates of errors, reducing high rates of readmission, improving satisfaction with care, addressing unmet needs in health care and reducing cost burden will also be explored.
This core course examines contextual contributors to health status and the current social, legal, and political determinants of healthcare systems, emphasizing the U.S. system. Issues are explored to understand their impact on current and future delivery of health care, in particular on advanced practice nursing. The class focuses on how to bring the professional values of nursing to bear in policy debate and how nurses partner in the policy process to improve health outcomes of populations and quality of the healthcare delivery system.
In this course we will examine the normal physiological function of organ systems, mechanisms for the maintenance of health, pathophysiological alterations that lead to disease, and the fundamentals of pharmacological treatment of disease. We will focus on diseases that commonly occur across the lifespan, examining common etiologies, pathogenetic mechanisms, clinical manifestations, and common drug treatments of each. Basic principles of pharmacology will also be discussed, including pharmacokinetics, pharmacodynamics, and toxicities. There will be an overall focus on major pharmacologic agents used to treat the most common disease states with emphasis on relating the mechanism of action to the therapeutic use.
Financial reporting provides a window into the operational and financial workings of a company. However, translating this information into actionable insights is anything but straightforward. It requires an understanding of: Generally Accepted Accounting Principles (GAAP), the quality of financial information, and adjustments and analyses used to assess profitability, risk, growth, and value.
The course starts with a short review of financial reporting and then focuses on various modules of fundamental analysis, including earnings quality, performance evaluation, risk assessment, forecasting, and valuation. The remaining class meetings are devoted to a deeper dive into the reporting and analysis of key transactions (e.g., business combinations, leasing) and financial statement line items (e.g., revenue, income taxes). We will also cover non-GAAP/pro-forma reporting.
This is a case-based class. Much of our time will be spent discussing real-world cases rather than in a lecture format. We will study many actual financial disclosures and cases of accounting abuses. Studying financial disclosures will help you better understand the underlying assumptions and accounting choices the firm made in arriving at its accounting numbers. This information can be used to make earnings quality adjustments to the accounting numbers to make them more consistent across time or more comparable across companies. Studying cases of accounting abuses will help you improve your ability to “read between the lines” and develop a set of red flags to look for in analyzing
financial statements. The class also incorporates insights from practitioner and academic research.
The purpose of this course is to learn about fundamental drivers of value and risk by analyzing financial statements of businesses in different industries. Every public company provides a lot of financial and operational information in its filings. How can this information be used to evaluate its prospects and its risks?
The course is organized around two themes (1) how to identify relevant information in the financial information reported by firms, and (2) how to draw inferences using sound analytical methodology. To this end, we will review techniques for valuation and risk analysis used by banks and asset management firms. The valuation models you will study in this course are all fundamental models – models that use
financial information and review the fundamental operating characteristics of the company. We will learn to build simple financial models, perform risk analysis and fine tune value drivers. Much of the data comes from the financial statements – but it requires a careful study of arcane footnotes to unearth the information provided by the companies. This is an advanced course that goes into the details of footnote analysis, accounting rules, and financial presentations. This course builds on what you learned in Financial Accounting and Corporate Finance. These courses are pre-requisites for taking this course. It is assumed that you have already taken these courses. If you have not taken these courses you should first talk with me before you register. This course will build significantly on your knowledge from those courses. If your basics are solid and you are interested in learning to read financial statements; if you wish to learn to apply financial analysis; this course is for you. We will use excel to build some of the models – but this is not a course in excel. But, it is highly recommended that
you have a good working knowledge of how to build formulas in excel before you come to this class.
By the end of the course, you should be able to perform a thorough, credible investment or credit analysis that meets a high standard. Students should have the ability to estimate fundamental values, and pull apart the information in the financial statements to get relevant information. This course should be of interest to those contemplating careers in investment banking, security analysis, private
equity, hedge funds, and corporate finance.
This course will develop the knowledge and skills necessary for conducting advanced comprehensive and focused health assessment for individuals with emphasis placed on interviewing skills, health histories, physical and psycho-social findings. Utilizing a systems approach and a background in basic physical assessment, identification and interpretation of abnormalities are emphasized.
Learn how to use the most common Python packages for data science. Become
confident in managing your own data and building data pipelines.
This graduate course is designed to provide the student with the knowledge and skills to facilitate changes in practice delivery using quality improvement strategies. Historical development for total quality management and strategies for implementing process improvement are emphasized. Students will learn how to develop a culture of appreciative inquiry to foster inquisition and innovation. Upon completion of this course, students will design a plan for implementation of a quality improvement project.